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feat(accuracy): cross-engine result hashing, execution status tracking, and JVM isolation (#23) - #28
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remiceres merged 1 commit intoOct 29, 2026
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…g, and JVM isolation (#23) - Implement SparqlResultHasher for deterministic canonical SHA-256 result hashing - Enrich QueryResult and reports with rowCount, resultHash, and status (PASS, MISMATCH, TIMEOUT, ERROR) - Integrate result hashing and variable normalization into Jena, RDF4J, and Corese drivers - Add JVM subprocess isolation via ProcessBuilder (-Xms4g -Xmx8g -XX:+UseG1GC) to eliminate GC/JIT contamination - Support cross-engine validation and status display in web dashboard - Add comprehensive JUnit 5 tests (SparqlResultHasherTest, QueryResultAccuracyTest)
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October 29, 2026 15:18
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Summary
Implements cross-engine SPARQL solution verification, canonical result hashing, execution status badges, and subprocess-level JVM isolation as specified in #23.
Technical Scope & Changes
fr.inria.corese.benchmark.validation.SparqlResultHasherin pure standard Java 21 (zero external dependencies).rowCount.JenaDriver,RDF4JDriver, andCoreseDriver.QueryResultwithrowCount,resultHash, andstatus(PASS,MISMATCH,TIMEOUT,ERROR).crossValidateQueries()inMain.javato detect discrepancies and flagMISMATCH.site/app.js) with mismatch alerts (⚠️), row counts, and hash tooltips.ProcessBuilder.-Xms4g -Xmx8g -XX:+UseG1GC) eliminating GC and JIT cross-contamination.QueryResultAccuracyTestandSparqlResultHasherTest).test_baseline.py).Closes #23